Journal article
Looks like eve: exposing insider threats using eye movement biometrics
- Abstract:
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We introduce a novel biometric based on distinctive eye movement patterns. The biometric consists of 20 features that allow us to reliably distinguish users based on differences in these patterns. We leverage this distinguishing power along with the ability to gauge the users’ task familiarity, i.e., level of knowledge, to address insider threats. In a controlled experiment we test how both time and task familiarity influence eye movements and feature stability, and how different subsets of f...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
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- Files:
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(pdf, 1.3MB)
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- Publisher copy:
- 10.1145/2904018
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Authors
Funding
Bibliographic Details
- Publisher:
- Association for Computing Machinery Publisher's website
- Journal:
- ACM Transactions on Information and System Security Journal website
- Volume:
- 19
- Issue:
- 1
- Pages:
- Article: 1
- Publication date:
- 2016-01-01
- DOI:
- EISSN:
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1557-7406
- ISSN:
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1094-9224
- URN:
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uuid:2c754b4d-afe3-47bd-827f-b448ed553750
- Source identifiers:
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619998
- Local pid:
- pubs:619998
- Paper number:
- 1
Item Description
- Keywords:
Terms of use
- Copyright holder:
- Eberz et al.
- Copyright date:
- 2016
- Notes:
- Copyright is held by the authors. This work is licensed under a Creative Commons Attribution International 4.0 License.
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